We performed a comparison between Qlik Compose and SSIS based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."
"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"It can scale."
"It's a stable solution."
"The technical support is very good. I rate the technical support a ten out of ten."
"I have found it to be a very good, stable, and strong product."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"The scalability of SSIS is good."
"We like that this solution includes a developer edition, free of charge, to allow for training."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"The solution is stable."
"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."
"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."
"The most valuable features of this solution are the fast insert and fuzzy logic matching."
"Qlik's ETL and data transformation could be better."
"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
"I'd like to have access to more developer training materials."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"I believe that visual data flow management and the transformation function should be improved."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"There should be proper documentation available for the implementation process."
"We'd like them to develop data exploration more."
"A change in the metadata source cripples the whole ETL process, requiring each module to be manually reopened."
"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
"It needs more integration tools, so you can connect to different sources."
"I would like to see more features in terms of the integration with Azure Data Factory."
Qlik Compose is ranked 20th in Data Integration with 12 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Qlik Compose is rated 7.6, while SSIS is rated 7.6. The top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), Azure Data Factory and Palantir Foundry, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our Qlik Compose vs. SSIS report.
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